Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data

Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data

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Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data

Semantic Scholar · Medicine · 2016

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Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data

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References (35)

01Risks of Psychiatric Disorders and Suicide Attempts in Children and Adolescents With Type 1 Diabetes: A Population-Based Cohort StudyA. Butwicka, L. Frisén, C. Almqvist et al.2015 · Diabetes Care · 181 citations

02ADReCS: an ontology database for aiding standardization and hierarchical classification of adverse drug reaction termsMei-Chun Cai, Quan Xu, Yan Pan et al.2014 · Nucleic Acids Res. · 100 citations

03Stimulated Reporting: The Impact of US Food and Drug Administration-Issued Alerts on the Adverse Event Reporting System (FAERS)Keith Hoffman, Andrea Demakas, M. Dimbil et al.2014 · Drug Safety · 86 citations

04The Mental Health Comorbidities of DiabetesL. Ducat, L. Philipson, B. Anderson2014 · Journal of the American Medical Association (JAMA) · 366 citations

05AERS spider: an online interactive tool to mine statistical associations in Adverse Event Reporting SystemI. Grigoriev, W. zu Castell, Philipp O. Tsvetkov et al.2014 · Pharmacoepidemiology and Drug Safety · 12 citations

06Tu1254 Glitazones in the Treatment of Angioectasias: Regulating the TGF-β Signaling Pathway, PPARγ, Angiogenesis and Wound Repair MechanismsM. Sarangdhar, M. Yacyshyn, B. Aronow et al.2014 · 1 citation

07The Weber Effect and the United States Food and Drug Administration’s Adverse Event Reporting System (FAERS): Analysis of Sixty-Two Drugs Approved from 2006 to 2010Keith Hoffman, M. Dimbil, Colin B. Erdman et al.2014 · Drug Safety · 185 citations

08Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining AlgorithmsT. Sakaeda, Kaori Kadoyama, Keiko Minami et al.2014 · International Journal of Medical Sciences · 56 citations

09No evident association between efavirenz use and suicidality was identified from a disproportionality analysis using the FAERS databaseA. Napoli, J. J. Wood, J. Coumbis et al.2014 · Journal of the International AIDS Society · 35 citations

10Systems Pharmacology of Adverse Event Mitigation by Drug CombinationsShan Zhao, T. Nishimura, Yibang Chen et al.2013 · Science Translational Medicine · 131 citations

11Pneumothorax as an Adverse Drug Event: An Exploratory Aggregate Analysis of the US FDA AERS Database Including a Confounding by Indication Analysis Inspired by Cornfield's ConditionM. Hauben, E. Hung2013 · International Journal of Medical Sciences · 11 citations

12Performance of Pharmacovigilance Signal Detection Algorithms for the FDA Adverse Event Reporting SystemR. Harpaz, W. DuMouchel, P. LePendu et al.2013 · Clinical pharmacology and therapy · 320 citations

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